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2024 International Conference on Advanced Technologies for Communications, ATC 2024

作者： Patel, Shobhit K. Agravat, Dhruvik Nguyen, Tien Dung Nguyen, Thi Thanh Kieu Nguyen, Truong Khang Marwadi University Department of Computer Engineering Gujrat Rajkot360003 India Marwadi University Department of Physics Gujrat Rajkot360003 India Electric Power University Faculty of Control and Automation Ha Noi Viet Nam Binh Thuan College Faculty of Engineering Binh Thuan Viet Nam School of Technology Van Lang University Faculty of Information Technology Ho Chi Minh City Viet Nam

ISBN: (纸本)9798350353983

This study investigates the concept of multiband graphene THz antennas. We investigate the advantages of graphene in THz antenna applications with standard materials. Using a graphene strip, we built a multiband GSSPlp-MIMO antenna in this study that achieves triple operating frequencies of 7.64 THz, 9.57 THz, and 10.90 THz. The reflection response (S11) of -29.2135 dB, which shows excellent signal confinement within the antenna, was greatly improved upon the inclusion of graphene. Superior impedance matching was the trade-off for this, even if the gain decreased slightly (10.41 dB) in comparison to the antenna without graphene (12.30 dB). The parameters are optimized using machine learning, yielding a maximum accuracy (R2) of 0.996622 and a mean square error of 5.3934 ×10-5. This indicates that high-performance terahertz antennas that balance gain and effective signal transmission can be designed using graphene. The antenna's capacity to handle multiple bands makes it ideal for future ultra-broadband wireless communication systems. This results in higher data transfer rates and supports emerging technologies such as 6G and beyond. © 2024 IEEE.

关键词： Data transfer rates

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Stability analysis and stabilization of discretized uncertain spatially interconnected systems 27

Stability analysis and stabilization of discretized uncertai...

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27th International Conference on Methods and Models in automation and Robotics, MMAR 2023

作者： Sulikowski, Bartlomiej Galkowski, Krzysztof Hladowski, Lukasz Kummert, Anton Velten, Joerg University of Zielona Góra Institute of Control and Computation Engineering Zielona Góra Poland University of Zielona Góra Institute of Automation Electronic and Electrical Engineering Zielona Góra Poland University of Wuppertal Faculty of Electrical Information and Media Engineering Wuppertal Germany

ISBN: (纸本)9798350311075

In this paper spatially interconnected (ladder) systems have been discussed. First, the multidimensional, in that case, 2D - continuous in time and discrete in the spatial variable, has been introduced. Next, the temporal dynamics has been discretized, which has allowed to create the general, discrete model for the system dynamics. It has been assumed that system elements are the subject of uncertainty of the norm bounded form. Finally, robust stability testing and robust stabilizing controller design conditions have been proposed and its effectiveness is illustrated by an simulation example. © 2023 IEEE.

关键词： Stabilization

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Model and Software In-The-Loop Testing of Engine’s Speed and Load control Functionality

Model and Software In-The-Loop Testing of Engine’s Speed an...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Anam Tahir Pontus Prinsén Jari Böling Automation Engineering Faculty of Technology University of Turku Turku Finland Marine–R&D–Automation & Control Wärtsilä Finland Oy Vaasa Finland

ISBN: (数字)9798350394085

ISBN: (纸本)9798350394092

This paper focuses on the designing of the engine simulation models using the Wärtsilä 31 (W31) dual fuel (DF) first-order marine engine model, operating on torque and the performance output is the engine speed. X-in-the-loop simulations are proposed using the closed-loop system of proportional integral derivative control designs with respect to manual tuning and direct synthesis techniques to test the engine’s speed and load control functionality. The model-in-the-loop simulation evaluates the performance of the engine model i.e. the model-based testing whereas the software-in-the-loop simulation verifies the engine model in a simulation environment using the W31DF UNIC control system. The simulation results show the effectiveness of the proposed testing methods with respect to stability and settling performance.

关键词： Adaptation models Torque Manuals Mathematical models Stability analysis Engines Tuning

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Predictive maintenance for electrical motors: Current approach and usage of artificial intelligence algorithms

Predictive maintenance for electrical motors: Current approa...

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International Conference on Methods and Models in automation and Robotics (MMAR)

作者： Tomasz Herzog Krzysztof Bartecki Faculty of Electrical Engineering Automatic Control and Computer Science Opole University of Technology Opole Poland Rockwell Automation Power Control Business Katowice Poland

ISBN: (数字)9798350362343

ISBN: (纸本)9798350362350

The article presents the current approach in artificial intelligence methods used in predictive maintenance for electrical motors. The study focuses on presenting data classification methods for fault detection and isolation using data from condition monitoring systems. We discuss the advantages and disadvantages of using machine learning methods like perceptron and Support Vector Machine (SVM) for fault classification problems. Our conclusion shows great interest in machine learning methods combined with condition monitoring systems. Our future research will focus on comparing SVM, perceptron networks, and other methods, such as K-nearest neighbors, with their possibility for implementation in embedded firmware systems.

关键词： Support vector machines Condition monitoring Accuracy Fault detection Artificial neural networks Machine learning Prediction algorithms

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Transformer-Based Macroscopic Regulation for High-Speed Railway Timetable Rescheduling

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IEEE/CAA Journal of Automatica Sinica 2023年第9期10卷 1822-1833页

作者： Wei Xu Chen Zhao Jie Cheng Yin Wang Yiqing Tang Tao Zhang Zhiming Yuan Yisheng Lv Fei-Yue Wang Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China Signal&Communication Research Institute China Academy Railway SciencesBeijing 100081China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China IEEE State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Macao Institute of Systems Engineering Macao University of Science and TechnologyMacao 999078China

Unexpected delays in train operations can cause a cascade of negative consequences in a high-speed railway *** such cases,train timetables need to be ***,timely and efficient train timetable rescheduling is still a challenging problem due to its modeling difficulties and low optimization *** paper presents a Transformer-based macroscopic regulation approach which consists of two stages including Transformer-based modeling and policy-based ***,the relationship between various train schedules and operations is described by creating a macroscopic model with the Transformer,providing the better understanding of overall operation in the high-speed railway ***,a policy-based approach is used to solve a continuous decision problem after macro-modeling for fast *** experiments on various delay scenarios are *** results demonstrate the effectiveness of the proposed method in comparison to other popular methods.

关键词： High-speed railway reinforcement learning train timetable rescheduling Transformer

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Research on twistor-based complex collisions of a quadrotor UAV suspension system

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International Journal of Dynamics and control 2025年第3期13卷 1-14页

作者： Zhou, Jiaxing Chen, Yuhao Deng, Yifan Li, Qing School of Electric Engineering and Automation Xiamen University of Technology 600 Ligong Road Fujian Xiamen361024 China Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control 600 Ligong Road Fujian Xiamen361024 China Faculty of Electronic and Information Engineering Xi’an Jiaotong University No. 28 Xianning West Shaanxi Xi’an710075 China School of Aerospace Northwestern Polytechnical University No. 127 Youyi West Road Xi’an710072 China

The disturbances of wind fields and collisions introduce additional uncertain disturbance during the collision deicing process of UAV suspended load. The UAV suspension system’s position and attitude models are established separately based on traditional method such as Newton–Euler. Consequently, the introduction of multiple algebraic methods, including position vector and Euler angle, increases computational complexity. Accordingly, the system response delays and the control accuracy cannot meet the mission requirements. Therefore, it is essential to find a method for integrated position–attitude modeling and control. To address this problem, this paper proposes a collision dynamic model for a quadrotor UAV suspension system based on twistor. This twistor provides a unified description of translational and rotational motion. In addition, the introduction of twistor avoids the normalization constraints and parameter redundancy in dual quaternion. The stability of the UAV cannot be ensured due to the uncertain disturbances introduced by the wind field and collisions. As a result, there is a need to design a strong disturbance rejection controller. To mitigate impacts of these disturbances, a fuzzy sliding mode controller within the twistor framework is presented. Lyapunov theory and LaSalle invariance principles are used to prove the stability of the system. The simulation demonstrates that the fuzzy sliding mode controller within the twistor framework effectively ensures the stability and adaptability of the quadrotor UAV suspended system under the disturbances of wind fields and collisions. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Disturbance rejection

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AI4S Based on DeSci: Reference Model and Research Issues

AI4S Based on DeSci: Reference Model and Research Issues

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Ding, Wenwen Li, Juanjuan Qin, Rui Guan, Sangtian Wang, Fei-Yue Institute of Automation Chinese Academy of Sciences The State Key Laboratory for Management and Control of Complex Systems The State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Macau University of Science and Technology Faculty of Innovation Engineering Macau China Institute of Automation The State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350337020

The rise of Artificial Intelligence for Science (AI4S) has highlighted the importance and urgency of ensuring open-ness, fairness, impartiality, diversity, and sustainability in scientific systems. Existing scientific systems, referred to as Centralized Science (CeSci), are built on centralized organizational structures and top-down institutional frameworks, which are lagging behind the development and practical requirements of AI4S. To address these limitations, AI4S needs to embrace a new scientific organizational and operational paradigm, namely Decentralized Science (DeSci). It can provide strong support to AI4S via effectively addressing issues such as information silos, biases, unfair distribution, and monopolies and promoting multidisciplinary, interdisciplinary, and trans disciplinary cooperation in science. Based on these considerations, this paper presents the framework of AI4S based on DeSci and explores its potential application scenarios and research issues. The research can provide effective guidance for the development of scientific systems. © 2023 IEEE.

关键词： Artificial Intelligence for Science (AI4S) ChatGPT Decentralized Autonomous Organizations and Operations (DAOs) Decentralized Science (De-Sci) Generative Artificial Intelligence (GAI) Intelligent Science

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Adaptive Non-backstepping Output-Feedback control for Hydraulic Servo System Subject to Uncertain Dynamics 19th

Adaptive Non-backstepping Output-Feedback Control for Hydrau...

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19th Chinese Intelligent Systems Conference, CISC 2023

作者： Li, Chenghuan Ma, Jun Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China Yunnan International Joint Laboratory of Intelligent Control and Application of Advanced Equipment Kunming University of Science and Technology Kunming650500 China

ISBN: (纸本)9789819968855

In this paper, a novel non-backstepping adaptive control approach is presented for the hydraulic servo systems, aiming to mitigate the "explosion of complexity" issue and achieve matching of full-state known conditions. This approach enables one-step control through coordinate transformation. To address the control singularity problem, two radial basis function neural networks (RBFNNs) are utilized to estimate the separate sets of lumped unknown dynamics. Additionally, an adaptive controller is designed where the neural network weights are updated online using a weight error variable. This ensures that the estimated weights converge closely to their true values, allowing for accurate identification of the unknown dynamics. Theoretical analysis and numerical simulation are conducted verity the correctness and effectiveness of the proposed method. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Backstepping

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Automating RTGC with PID control: Utilizing Camera-Based Image Processing and Object Detection

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IFAC-PapersOnLine 2024年第7期58卷 299-304页

作者： Steven Bandong Yul Y. Nazaruddin Augie Widyotriatmo Muhammad R. Miransyahputra Yan Setiaji Engineering Physics Doctoral Program Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Instrumentation Control and Automation Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia

The high traffic in the container yard requires effective management, and one method to address this is through automation. The Rubber Tyred Gantry Crane (RTGC) plays a crucial role in container yards. Automating the RTGC involves determining the container’s location and sway angle to provide feedback for the control system. The advancements in computer vision technology offer a unique solution to tackle these challenges. This paper proposes image processing as a means to sense the sway angle and MobileNet SSD to detect the container’s location. The proposed method yields accurate measurement results and is integrated with optimized PID-PD for position and sway angle control in RTGC. The effectiveness of the proposed method is demonstrated through successful performance in both simulation and experiments conducted on a laboratory-scale RTGC prototype.

关键词： port automation RTGC control system computer vision optimization camera based sensor

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Information Presentation Strategies to Promote Pedestrian Behavior Change in Mixed Spaces with Automated Vehicle

Information Presentation Strategies to Promote Pedestrian Be...

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2024 IEEE/SICE International Symposium on System Integration, SII 2024

作者： Nishiura, Yuki Yamada, Hiroyuki Kurazume, Ryo Graduate School of Information Science and Electrical Engineering Kyushu University Japan Center for Sustainability - Connective Automation Hitachi Ltd. Research and Development Group Autonomous Control Research Department Ibaraki312-0034 Japan Kyushu University Faculty of Information Science and Electrical Engineering Fukuoka819-0395 Japan

ISBN: (纸本)9798350312072

This paper introduces an information presentation strategy for pedestrians, aiming to enhance traffic efficiency in a mixed pedestrian-automated vehicle environment, such as a public road. While automated driving technology has made remarkable progress, interactions with pedestrians on regular roads have mostly been studied in virtual environments using virtual reality goggles. According to these studies, potential traffic efficiency and safety issues arise from pedestrians' limited understanding of automated vehicle behavior. To address this, we propose a human-machine interface employing a head-mounted display (HMD) to mitigate traffic efficiency degradation caused by pedestrians. The proposed system draws upon behavioral economics principles to encourage pedestrians to modify their behavior and develop better interactions with automated vehicles. Simulations were conducted to identify an information presentation strategy that strongly supports learning, and its effectiveness was further validated through experiments involving a real vehicle. Notably, the experimental results confirmed that the information presentation strategies proven effective in simulations also facilitated pedestrian learning during real-world interactions. © 2024 IEEE.

关键词： Virtual reality

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